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ARCOMEM Flyer
 

ARCOMEM Flyer

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ARCOMEM developing methods & tools for transforming digital archives into community memories bases on novel socially-aware & -driven preservation models.

ARCOMEM developing methods & tools for transforming digital archives into community memories bases on novel socially-aware & -driven preservation models.

http://www.arcomem.eu

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    ARCOMEM Flyer ARCOMEM Flyer Document Transcript

    • arcomem_lay01.indd 1 05.07.11 16:48
    • ARCOMEM’s aim is to help transform Social Web analysis and Web mining, which includes archives into collective memories that effective methods for the analysis of Social Web content, are more tightly integrated with their analysis of community structures, discovery of evidence for content appraisal, analysis of trust and provenance, community of users and exploit Social and scalability of analysis methods. Web and the wisdom of crowds to Event detection and consolidation, which includes informa- make Web archiving a more selective tion extraction technologies for detection of events and and meaning-based process. for detecting entities related to events; methods for con- solidating event, entity and topic information within and between archives, models for events, covering different In order to reach its ambitious scien- levels of granularity, and their relations. tific and technological objectives, Perspective, Opinion and Sentiment detection, which advanced research is required in the includes scalable methods for detecting and analysing opinions, perspectives taken, and sentiments expressed ARCOMEM project. This includes in the Web and especially Social Web content. research in the following areas >>>>> Concise content purging, which includes detection of duplicates and near-duplicates and an adequate re- flection of content diversity with respect to textual content, images, and opinions. Intelligent adaptive decision support, which includes methods for combining and reasoning about input from social Web analysis, diversity and coverage aspects, extracted information, domain knowledge and heuristics, etc.; methods for adapting the decision strategies to inputs received. Advanced Web Crawling, which includes the integration of event- centred and entity-centred strate- gies, the use of social Web clues in crawling decisions and methods for translating by example and descriptive crawling specifications into crawling strategies. Approaches for “semantic preser- vation”, which includes methods for enabling longterm interpretability of the archive content; methods for preserving the original context of perception and discourse in a semantic way; methods for deal- ing with evolution on the semantic layer.arcomem_lay01.indd 2 05.07.11 16:48